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Clean Scores, Buried Evidence, and Confident Wrong: A Receipt-Based Audit of Frontier Agentic QA
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research shows frontier AI agents degrade significantly in accuracy and inflate costs when document evidence is buried within complex data rooms.
OneBench interpretation
Institutional assessment
So what
Standard benchmark scores overstate agentic reliability in complex due diligence pipelines, concealing high failure rates and ballooning inference costs.
Do what
Review evaluation benchmarks with the team responsible for model validation before deploying agentic document-processing workflows.